Back by even popular demand, we will be running our 2-part, 100-level series getting YOU to solve a REAL data project once again! All proceeds of this event will be going to local chairty.

This round we are introducing a Marketing Mix problem

As you might imagine – due to Covid-19 our offices are closed and this will be held via a Zoom meeting and Slack, all of which you will be invited to after registration to the meetup.

Learn to use open-source frameworks, free and paid tools and data science software to process REAL data and answer REAL QUESTIONS that our clients have had in the past with the ultimate goal of preparing and presenting analysis and/or models using real-world data.

In this lab, you will work through
– setup / questions to ask (so that you can really properly set up a client project)
– Project setup
– Analysis – Using the data provided to analyze

Before logging in you will have received a special email registration and access to Slack and a GDrive folder; please read ahead and try to familiarize yourselves with the project briefs, data sets, etc…

After attending this Lab, you will have learned:

• Problem discovery
• Data project setup
• Analysis setup and kick off
• Data profiling

Which gets you ready for Part 2 (on Tuesday)

Format:
During the meetup we will break you guys up into “teams” to solve the problem at hand. Each team will be given access to a private channel in Slack and will be granted its own breakout room in Zoom

House Keeping:
Fill this form out if you don’t have a @labs.1000ml.io email address
https://bit.ly/2XzZ3Uz
You’ll need this to access our slack channels, G-Drive and get your zoom invite

The cut-off time for signups will be 5:00 PM on May 21st (you’ll be getting your registration emails/slack access by 5:15pm)

The zoom meeting will open at 5:45 pm
Please log into Slack, GDrive and be ready to do things in Google Apps on your laptop and BE ON time.

Download and install Zoom
https://zoom.us/download

Download and install Slack
https://slack.com/intl/en-ca/downloads